2 papers
cs.LG2025
Entropy-driven Fair and Effective Federated Learning
Lin Wang, Zhichao Wang, Ye Shi +2
Federated Learning (FL) enables collaborative model training across distributed devices while preserving data privacy. Nonetheless, the heterogeneity of edge devices often leads to…
stat.ME2025
Balanced Subsampling for Big Data with Categorical Covariates
Lin Wang
Supervised learning under measurement constraints is a common challenge in statistical and machine learning. In many applications, despite extensive design points, acquiring respon…